According to onchain data provided by Lookonchain, a crypto whale has made a significant profit by mining AI-themed altcoins and memecoins. According to the data, the total profits of the crypto whale in question were measured at $5.14 million on GOAT, $4.5 million on AI16Z, $4 million on Fartcoin, and $4 million on ARC. Digging deeper, it appears that the whale purchased GOAT tokens when the token’s total market value was below $2 million. The whale, who initially spent $62,000 for GOAT, sold the tokens he purchased for $5.2 million. For A16Z, the whale purchased when the total market value of this altcoin was $ 22 million and spent a total of $ 123 thousand. The whale, who sold some of his tokens for $ 1.78 million, still has $ 2.9 million worth of A16Z tokens in his wallet. Related News: Can All Bitcoins Really Be Mined in the US After Trump Takes Office? Is This Possible? In Fartcoin, one of the most talked about memecoins of recent times, a cryptocurrency whale entered the market when the market value of the token was below $ 7 million. The whale wallet sold some of the tokens it purchased for $ 121 thousand for $ 610 thousand. It currently has $ 3.55 million worth of Fartcoin in its wallet. The crypto whale also purchased the ARC token when its market value was below $15 million. He withdrew the principal of the token he purchased by paying $212,000, and currently has $4 million worth of ARC tokens in the whale's wallet. According to Lookonchain analysts, this whale has made some interesting new purchases. According to Onchain data, the crypto whale purchased memecoins CREATE, PIPPIN, SANDY, MOLE, and FORGE. However, considering the profitable history of this whale, it should not be forgotten that he may be an insider and that there may be dumps in the altcoins he purchased. Especially low market value, new altcoins and memecoins carry high risk. *This is not investment advice. Continue Reading: The Whale Who Made $17 Million in Profits on AI Altcoins and Memecoins Makes New Purchases, According to Onchain Data